Evidence map›Paper›PMID 35738022›Full record

Observational studyNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023

Subtypes of Dual Users of Combustible and Electronic Cigarettes: Longitudinal Changes in Product Use and Dependence Symptomatology.

Anne Buu, Zhaoxue Tong, Zhanrui Cai, Runze Li, James J Yang, Douglas E Jorenby, Megan E Piper

Abstract readObservational Study
In one paragraph

Observational study in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Identifying Latent Classes of Dual Cigarette/ENDS Users Based on Motivations for ENDS Use: Product Substitution Versus Complementary Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Anne BuuDepartment of Health Promotion and Behavioral Sciences, University of Texas Health Science Center, 7000 Fannin St., Houston, TX 77030, USA.ORCID 0000-0002-5799-9594
Zhaoxue TongDepartment of Statistics, Pennsylvania State University, 413 Thomas Building, University Park, PA 16802-2111, USA.
Zhanrui CaiDepartment of Statistics, Iowa State University, 2438 Osborn Dr., Ames, IA 50011, USA.ORCID 0000-0003-3359-9446
Runze LiDepartment of Statistics, Pennsylvania State University, 413 Thomas Building, University Park, PA 16802-2111, USA.ORCID 0000-0002-0154-2202
James J YangDepartment of Biostatistics and Data Science, University of Texas Health Science Center, 1200 Pressler St., Houston, TX 77030, USA.
Douglas E JorenbyCenter for Tobacco Research and Intervention, University of Wisconsin, 1930 Monroe Street, Suite 200, Madison, WI 53711, USA.
Megan E PiperCenter for Tobacco Research and Intervention, University of Wisconsin, 1930 Monroe Street, Suite 200, Madison, WI 53711, USA.ORCID 0000-0002-9876-5460

Funding

E-Cigarettes: Dynamic Patterns of Use and Health EffectsR01CA190025 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI JORENBY, DOUGLAS E, PIPER, MEGAN E · 2015 to 2019
$4.1M
Methodology and measurement for examining short-term and long-term effects of e-cigarette and polysubstance useR01DA049154 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BUU, YUH-PEY ANNE, LIN, HSIEN-CHANG · 2019 to 2022
$2.6M
NCI NIH HHS R01 CA190025NIDA NIH HHS R01 DA049154
6 · The paper itself

Abstract

introductionCross-sectional surveys found behavioral heterogeneity among dual users of combustible and electronic cigarettes. Yet, prior classification did not reflect dynamic interactions between cigarette and e-cigarette consumption, which may reveal changes in product-specific dependence. The contexts of dual use that could inform intervention were also understudied.

methodsThis study conducted secondary analysis on 13 waves of data from 227 dual users who participated in a 2-year observational study. The k-means method for joint trajectories of cigarette and e-cigarette consumption was adopted to identify the subtypes of dual users. The time-varying effect model was used to characterize the subtype-specific trajectories of cigarette and e-cigarette dependence. The subtypes were also compared in terms of use contexts.

resultsThe four clusters were identified: light dual users, predominant vapers, heavy dual users, and predominant smokers. Although heavy dual users and predominant smokers both smoked heavily at baseline, by maintaining vaping at the weekly to daily level the heavy dual users were able to considerably reduce cigarette use. Yet, the heavy dual users' drop in cigarette dependence was not as dramatic as their drop in cigarette consumption. Predominant vapers appeared to engage in substitution, as they decreased their smoking and increased their e-cigarette dependence. They were also more likely to live in environments with smoking restrictions and report that their use of e-cigarettes reduced cigarette craving and smoking frequency.

conclusionsEnvironmental constraints can drive substitution behavior and the substitution behavior is able to be sustained if people find the substitute to be effective. IMPLICATIONS: This study characterizes subtypes of dual users based on the dynamic interactions between cigarette use and e-cigarette use as well as product-specific trajectories of dependence. The subtypes differ in not only sociodemographic characteristics but also contexts of cigarette and e-cigarette use. Higher motivation to use e-cigarettes to quit smoking and less permissive environment for smoking may promote substitution of cigarettes by e-cigarettes.

Indexed as

Electronic Nicotine Delivery SystemsSmoking CessationTobacco ProductsVapingCross-Sectional StudiesHumansSmoking

Identifiers

PMID35738022
PMCPMC9910154

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.